ABDULRAJJAK WARUNKAR

At AiSPRY, I leveraged SQL and Python for data analysis, enhancing forecasting accuracy by 15%. My ability to communicate complex insights effectively fostered cross-departmental decision-making efficiency. Specializing in data visualization and statistical analysis, I excel in transforming data into actionable strategies, demonstrating a blend of technical prowess and collaborative problem-solving.

Optimization In Solar Power Generation        10/2024

• "Analyzed solar power generation data to identify optimization opportunities, increasing energy output by [15]% through data-driven adjustments in system parameters and efficiency measures."
• "Developed predictive models using Python to forecast solar output based on weather patterns, resulting in a more efficient allocation of resources and reduced downtime."
• "Utilized SQL and Power BI to visualize performance metrics and track key indicators, enabling real-time monitoring and facilitating proactive decision-making for system enhancements."

Iron Ore Price Analysis          08/2024

• "Conducted comprehensive analysis of iron ore price trends using historical data and market indicators, helping the company anticipate market shifts and adjust procurement strategies accordingly."
• "Utilized statistical methods and Python to forecast iron ore price fluctuations, achieving [10]% accuracy and supporting data-driven financial planning."
• "Created interactive dashboards in Power BI to visualize iron ore pricing data, enabling stakeholders to monitor market trends and make informed purchasing decisions."
• Iron ore prices against global economic factors, uncovering key variables that impact pricing volatility."

• Hindi
• Marathi
• English

I hereby certify that all the above given information is true to the best of my knowledge and I bear the
responsibility for its correctness of the above-mentioned particulars.